{"id":"W3157623118","doi":"10.1002/dev.22125","title":"Prenatal antidepressant exposure and sex differences in neonatal corpus callosum microstructure","year":2021,"lang":"en","type":"article","venue":"Developmental Psychobiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Splenium; Fractional anisotropy; Corpus callosum; Serotonin reuptake inhibitor; Diffusion MRI; White matter; Psychology; Offspring; Sertraline; Prenatal cocaine exposure; Internal medicine; Physiology; Antidepressant; Medicine; Pregnancy; Prenatal exposure; Neuroscience; Biology; Hippocampus; Magnetic resonance imaging; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003068189,0.0001381225,0.0002327553,0.00005473504,0.00004984793,0.000009744135,0.00006838602,0.00009801723,0.00006379031],"category_scores_gemma":[0.00001736234,0.0001195149,0.0000239042,0.0001291061,0.000134758,0.00003511817,0.00009746873,0.0002176938,0.000003626798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615629,"about_ca_system_score_gemma":0.00005673551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001271386,"about_ca_topic_score_gemma":0.00002485001,"domain_scores_codex":[0.9991039,0.00002344563,0.0002044872,0.0004079504,0.00005264714,0.0002075912],"domain_scores_gemma":[0.9996972,0.00003407798,0.00003981764,0.0001405747,0.00002184237,0.00006648614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004205696,0.00004715248,0.9199842,0.00003427974,0.00001689317,0.0002058598,0.0002283841,6.960963e-8,0.06520765,0.0002316883,0.0003924675,0.01360928],"study_design_scores_gemma":[0.001055157,0.00006306787,0.9414148,0.00008503414,0.000007710711,0.003517714,0.0002070492,0.000009268154,0.04240256,0.001069333,0.009986991,0.0001813439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997196,0.000867554,0.0004309724,0.0006603377,0.00009411744,0.0002048324,0.00004553527,0.00006369172,0.0004369682],"genre_scores_gemma":[0.9827862,0.0003451253,0.0153882,0.0008584168,0.00002660782,0.00003293467,0.0001593962,0.00001254961,0.0003906179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02280509,"threshold_uncertainty_score":0.4873675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536373551815285,"score_gpt":0.3114868481929179,"score_spread":0.276123112674765,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}